@article{walker_maynor_isik_heine_whetten_payn_quate_mckeand_2024, title={Stem Defect Rates and Ice Storm Damage for Families of Pinus taeda from Coastal and Piedmont Provenances Planted on a North Carolina Piedmont Site}, volume={4}, ISSN={["1938-3738"]}, url={https://doi.org/10.1093/forsci/fxae016}, DOI={10.1093/forsci/fxae016}, abstractNote={Abstract}, journal={FOREST SCIENCE}, author={Walker, Trevor D. and Maynor, Jessica A. and Isik, Fikret and Heine, Austin J. and Whetten, Ross W. and Payn, Kitt G. and Quate, T. Austin and McKeand, Steven E.}, year={2024}, month={Apr} }
 @article{shalizi_walker_heine_payn_isik_bullock_mckeand_2023, title={Performance Based on Measurements from Individual-Tree Progeny Tests Strongly Predicts Early Stand Yield in Loblolly Pine}, volume={2}, ISSN={["1938-3738"]}, url={https://doi.org/10.1093/forsci/fxad002}, DOI={10.1093/forsci/fxad002}, abstractNote={Abstract}, journal={FOREST SCIENCE}, author={Shalizi, Mohammad Nasir and Walker, Trevor D. and Heine, Austin J. and Payn, Kitt G. and Isik, Fikret and Bullock, Bronson P. and McKeand, Steven E.}, year={2023}, month={Feb} }
 @article{shalizi_payn_walker_isik_heine_mckeand_2022, title={Long-term evaluation of intra- and inter-provenance hybrids of loblolly pine in the Piedmont region of the southeastern United States}, volume={522}, ISSN={["1872-7042"]}, url={http://dx.doi.org/10.1016/j.foreco.2022.120469}, DOI={10.1016/j.foreco.2022.120469}, abstractNote={Long-term response of two intra- and two inter-provenance populations of loblolly pine (Pinus taeda L.) were evaluated in the Piedmont region of the southeastern United States. In total, 82 polycross families of the Atlantic Coastal (C) and Piedmont (P) provenances (C×C, P×P) and their hybrids (C×P, P×C) were field tested for growth, sawtimber potential, and survival through age 19 years. The Coastal pure (C×C) families were the tallest, and the hybrid populations (C×P, P×C) were intermediate for height. The four populations did not differ for diameter at breast height. The hybrid C×P population, followed by the C×C population, showed significantly higher stand volumes per hectare. These two populations maintained higher survival and stand density compared to the Piedmont pure populations. Sawtimber potential was significantly higher in the Piedmont pure families at the coldest study sites, presumably due to defect in the C×C and C×P from cold damage. No significant genotype-by-environment interactions were detected for any traits. The genetic gain for height, stand volume, and survival was considerable in the C×C and C×P over the Piedmont source, suggesting potential for benefiting from the faster growth of the Coastal material in the Piedmont region. The performance of the Coastal intra- and inter-provenance populations was marginally affected by the minimum winter temperatures (MWT). These results indicate that the Coastal and the hybrid families can be planted in the Piedmont region with MWT’s of −13 °C or greater and where the difference in MWT between the origin of the Coastal parents and the test sites was not extreme (e.g., the difference did not exceed 2.8 °C). These MWT limits encompass the southern Piedmont of North Carolina (<35.615 °N) and the Piedmont of South Carolina, Georgia, and Alabama.}, journal={FOREST ECOLOGY AND MANAGEMENT}, publisher={Elsevier BV}, author={Shalizi, Mohammad Nasir and Payn, Kitt G. and Walker, Trevor D. and Isik, Fikret and Heine, Austin J. and McKeand, Steven E.}, year={2022}, month={Oct} }
 @article{heine_walker_jett_isik_mckeand_2022, title={Pollination Bag Type Affects Ovule Development and Seed Yields in Pinus taeda L.}, volume={12}, ISSN={["1938-3738"]}, url={https://doi.org/10.1093/forsci/fxac052}, DOI={10.1093/forsci/fxac052}, abstractNote={Abstract}, journal={FOREST SCIENCE}, author={Heine, Austin J. and Walker, Trevor D. and Jett, Jackson B. and Isik, Fikret and McKeand, Steven E.}, year={2022}, month={Dec} }
 @article{lu_payn_pandey_acosta_heine_walker_young_2021, title={HYPERSPECTRAL IMAGING WITH COST-SENSITIVE LEARNING FOR HIGH-THROUGHPUT SCREENING OF LOBLOLLY PINE (PINUS TAEDA L.) SEEDLINGS FOR FREEZE TOLERANCE}, volume={64}, ISSN={["2151-0040"]}, url={http://dx.doi.org/10.13031/trans.14708}, DOI={10.13031/trans.14708}, abstractNote={Highlights}, number={6}, journal={TRANSACTIONS OF THE ASABE}, publisher={American Society of Agricultural and Biological Engineers (ASABE)}, author={Lu, Yuzhen and Payn, Kitt G. and Pandey, Piyush and Acosta, Juan J. and Heine, Austin J. and Walker, Trevor D. and Young, Sierra}, year={2021}, pages={2045–2059} }
 @article{pandey_payn_lu_heine_walker_acosta_young_2021, title={Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings}, volume={13}, ISSN={["2072-4292"]}, url={https://doi.org/10.3390/rs13183595}, DOI={10.3390/rs13183595}, abstractNote={Loblolly pine is an economically important timber species in the United States, with almost 1 billion seedlings produced annually. The most significant disease affecting this species is fusiform rust, caused by Cronartium quercuum f. sp. fusiforme. Testing for disease resistance in the greenhouse involves artificial inoculation of seedlings followed by visual inspection for disease incidence. An automated, high-throughput phenotyping method could improve both the efficiency and accuracy of the disease screening process. This study investigates the use of hyperspectral imaging for the detection of diseased seedlings. A nursery trial comprising families with known in-field rust resistance data was conducted, and the seedlings were artificially inoculated with fungal spores. Hyperspectral images in the visible and near-infrared region (400–1000 nm) were collected six months after inoculation. The disease incidence was scored with traditional methods based on the presence or absence of visible stem galls. The seedlings were segmented from the background by thresholding normalized difference vegetation index (NDVI) images, and the delineation of individual seedlings was achieved through object detection using the Faster RCNN model. Plant parts were subsequently segmented using the DeepLabv3+ model. The trained DeepLabv3+ model for semantic segmentation achieved a pixel accuracy of 0.76 and a mean Intersection over Union (mIoU) of 0.62. Crown pixels were segmented using geometric features. Support vector machine discrimination models were built for classifying the plants into diseased and non-diseased classes based on spectral data, and balanced accuracy values were calculated for the comparison of model performance. Averaged spectra from the whole plant (balanced accuracy = 61%), the crown (61%), the top half of the stem (77%), and the bottom half of the stem (62%) were used. A classification model built using the spectral data from the top half of the stem was found to be the most accurate, and resulted in an area under the receiver operating characteristic curve (AUC) of 0.83.}, number={18}, journal={REMOTE SENSING}, publisher={MDPI AG}, author={Pandey, Piyush and Payn, Kitt G. and Lu, Yuzhen and Heine, Austin J. and Walker, Trevor D. and Acosta, Juan J. and Young, Sierra}, year={2021}, month={Sep} }
 @article{lu_walker_acosta_young_pandey_heine_payn_2021, title={Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging}, volume={67}, ISSN={["1938-3738"]}, url={https://doi.org/10.1093/forsci/fxab003}, DOI={10.1093/forsci/fxab003}, abstractNote={Abstract}, number={3}, journal={FOREST SCIENCE}, publisher={Oxford University Press (OUP)}, author={Lu, Yuzhen and Walker, Trevor D. and Acosta, Juan J. and Young, Sierra and Pandey, Piyush and Heine, Austin J. and Payn, Kitt G.}, year={2021}, month={Jun}, pages={321–334} }
 @article{maynor_isik_walker_whetten_heine_payn_mckeand_2021, title={Provenance and Family Variation in Biomass Potential of Loblolly Pine in the Piedmont of North Carolina}, volume={67}, ISSN={["1938-3738"]}, url={https://doi.org/10.1093/forsci/fxaa056}, DOI={10.1093/forsci/fxaa056}, abstractNote={Abstract}, number={3}, journal={FOREST SCIENCE}, publisher={Oxford University Press (OUP)}, author={Maynor, Jessica A. and Isik, Fikret and Walker, Trevor D. and Whetten, Ross W. and Heine, Austin J. and Payn, Kitt G. and McKeand, Steven E.}, year={2021}, month={Jun}, pages={312–320} }
 @article{mckeand_payn_heine_abt_2020, title={Economic Significance of Continued Improvement of Loblolly Pine Genetics and Its Efficient Deployment to Landowners in the Southern United States}, volume={119}, ISSN={0022-1201 1938-3746}, url={http://dx.doi.org/10.1093/jofore/fvaa044}, DOI={10.1093/jofore/fvaa044}, abstractNote={Abstract}, number={1}, journal={Journal of Forestry}, publisher={Oxford University Press (OUP)}, author={McKeand, Steven E and Payn, Kitt G and Heine, Austin J and Abt, Robert C}, year={2020}, month={Dec}, pages={62–72} }
 @article{heine_walker_mckeand_jett_isik_2020, title={Pollination Bag Type Has a Significant Impact on Cone Survival in Mass Production of Controlled Pollinated Seeds in Loblolly Pine}, volume={66}, ISSN={0015-749X 1938-3738}, url={http://dx.doi.org/10.1093/forsci/fxaa013}, DOI={10.1093/forsci/fxaa013}, abstractNote={Abstract}, number={5}, journal={Forest Science}, publisher={Oxford University Press (OUP)}, author={Heine, Austin J and Walker, Trevor D and McKeand, Steven E and Jett, Jackson B and Isik, Fikret}, year={2020}, month={Jun}, pages={589–599} }
 @phdthesis{comparison of pollination bags for mass production of controlled cross seeds in loblolly pine_2018, url={http://www.lib.ncsu.edu/resolver/1840.20/35063}, year={2018}, month={Apr} }